Abstract #2889

Interior-Point and Particle-Swarm Optimization of an Inversion-Recovery Prepared Spoiled Gradient Echo Magnetic Resonance Fingerprinting Sequence

Jingwen Yao^1,2, Zhaohuan Zhang^1,2, Kyunghyun Sung¹, and Holden H. Wu¹

¹Department of Radiological Sciences, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States, ²Department of Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States

Magnetic Resonance Fingerprinting (MRF) permits simultaneous quantitative mapping of multiple MR parameters. We propose a framework for optimizing the sequence parameters of an inversion recovery prepared spoiled gradient echo (IR spoiled-GRE) based MRF sequence, with interior-point (IP) method and particle-swarm optimization (PSO). By using an designed exponential cost function to maximize the discrimination between tissue types, with combined sinusoidal wave functions as input to generate sequence parameters, substantial improvement of accuracy for T₁ and T₂* quantification can be achieved. Simultaneous high accuracy of T₁ and T₂* estimations can be achieved within 0.7s for SNR≥5; within 0.5s for SNR≥10.

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